Karina Martínez‐Mayorga
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Co-authors
- José L. Medina‐FrancoRichard A. HoughtenAndreas BenderThomas SciorMarc A. GiulianottiMichael F. BrownAustin B. YongyeAbraham Madariaga‐Mazón
- Topics
- Computational Drug Discovery Methods (34 papers)Receptor Mechanisms and Signaling (20 papers)Photoreceptor and optogenetics research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- MexicoUnited StatesGermany
In The Last Decade
Karina Martínez‐Mayorga
81 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.5k
- Computational Theory and Mathematics 1.1k
- Organic Chemistry 529
- Cellular and Molecular Neuroscience 381
- Pharmacology 309
Countries citing papers authored by Karina Martínez‐Mayorga
This map shows the geographic impact of Karina Martínez‐Mayorga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karina Martínez‐Mayorga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karina Martínez‐Mayorga more than expected).
Fields of papers citing papers by Karina Martínez‐Mayorga
This network shows the impact of papers produced by Karina Martínez‐Mayorga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karina Martínez‐Mayorga. The network helps show where Karina Martínez‐Mayorga may publish in the future.
Co-authorship network of co-authors of Karina Martínez‐Mayorga
This figure shows the co-authorship network connecting the top 25 collaborators of Karina Martínez‐Mayorga. A scholar is included among the top collaborators of Karina Martínez‐Mayorga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karina Martínez‐Mayorga. Karina Martínez‐Mayorga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 15 | |
| 8 | 64 | |
| 9 | 86 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 26 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 61 | |
| 16 | 11 | |
| 17 | 139 | |
| 18 | 46 | |
| 19 | 16 | |
| 20 | 41 |
About Karina Martínez‐Mayorga
Karina Martínez‐Mayorga is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Receptor Mechanisms and Signaling (20 papers) and Photoreceptor and optogenetics research (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (381 citations). Karina Martínez‐Mayorga has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include José L. Medina‐Franco, Richard A. Houghten, Andreas Bender, Thomas Scior, Marc A. Giulianotti, Michael F. Brown, Austin B. Yongye, Abraham Madariaga‐Mazón, Clemencia Pinilla and Karina Cuanalo-Contreras. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.